Interim Data Engineer

Consult; Rotterdam; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Riverflex is seeking an experienced Senior Data Engineer to lead the migration of a central data platform from Azure Synapse to Microsoft Fabric. You will design, implement and optimize lakehouse pipelines across bronze, silver and gold layers, aligning with the target architecture.

You will own one or more roadmap items end to end, coach a data engineering team, and drive CI/CD and governance in a hybrid Rotterdam setup. EU work authorisation required.

Qualifications

• 7+ years building and running a data platform in Azure.
• 5+ years of dimensional data modelling, SQL and PySpark notebooks.
• Hands-on with lakehouse architecture and medallion principles.
• Proven delivery in complex multi-source environments.

Responsibilities

• Migrate platform from Synapse to Microsoft Fabric and adapt pipelines/notebooks/data models.
• Own roadmap items end to end, focus on performance, cost, quality and monitoring.
• Build and maintain scalable pipelines and PySpark notebooks across bronze/silver/gold layers.

Skills

Data architecture

Agile teamwork

Mentoring

Stakeholder collaboration

Dutch-English bilingual

Education

Azure Data Engineer Associate (DP-203)

Fabric Data Engineer Associate (DP-700)

Tools

Azure Synapse Analytics

Microsoft Fabric

PySpark notebooks

Azure SQL Database

Delta Lake

Azure DevOps

Git

CI/CD

Job description

Interim | Hybrid (Rotterdam, 2 days per week on-site) | 36 hours per week | 6 months, with extension options up to 2 years

Our client, a major Dutch public transport organisation, is moving its central data and analytics platform from Azure Synapse to Microsoft Fabric. The platform runs on a lakehouse architecture with a medallion structure and Delta Lake, and feeds data products for asset management, HR and finance. You join the Data Office to deliver that migration and drive the next stage of the platform roadmap.

You work alongside the platform's data engineers, the lead data platform engineer, a solution architect, data analysts and data stewards. You own one or more roadmap items end to end, set the standard for engineering quality, and coach a team that is still building its experience on the platform. Start date is as soon as possible and no later than 2 November 2026.

About Riverflex

Riverflex was founded in Amsterdam and London in 2018, eventually growing into a global team of consultants united by a mission to help courageous leaders drive transformative change. Today, we offer an integrated service through three service pillars: strategy and transformation consulting that Creates Change, talent services that Build Teams, and business-accelerating products that Augment Intelligence. For more information, visit www.riverflex.com.

Responsibilities

Platform and migration

• You migrate the platform from Synapse to Microsoft Fabric, converting existing pipelines, notebooks and data models in line with the intermediate and target state architecture.
• You own one or more roadmap priorities, from performance and cost optimisation to data quality and monitoring.
• You build and maintain scalable pipelines and PySpark notebooks across the bronze, silver and gold layers, using a metadata-driven approach.

Data products and modelling

• You design and build dimensional data models, and ingest structured and unstructured data from complex source landscapes.
• You structure and manage the SQL data warehouse on Azure SQL Database and Fabric Database.
• You translate requirements from data analysts and business stakeholders into technical specifications.

Quality and engineering standards

• You implement the data quality framework, checks and cleansing processes across ETL/ELT flows.
• You run CI/CD pipelines in Azure DevOps for automated build, test and deployment, with quality and security controls built in.
• You lead code reviews, document and monitor what you deliver, and solve complex technical issues.

Team and ways of working

• You coach the other data engineers and raise the capability of the team.
• You take the lead in turning epics into features and sharpening user stories within an agile squad.

Job requirements

• 7+ years as a data engineer building and running a data platform in Azure, including Microsoft Fabric and/or Azure Synapse Analytics.
• 5+ years of dimensional data modelling, SQL and PySpark notebooks.
• Hands-on experience with lakehouse architecture and medallion principles.
• A track record of delivering in complex environments with multiple source systems, dependencies and stakeholders.
• Experience standardising and automating workflows with Azure DevOps, Git and CI/CD.
• Experience in agile teams, including leading the translation of epics into features and challenging engineers on user stories.
• One or more relevant Microsoft Azure certifications in data engineering, such as DP-203 (Azure Data Engineer Associate) or DP-700 (Fabric Data Engineer Associate).
• Fluent Dutch and strong English.
• Able to work 2 days per week from the Rotterdam office.
• EU work authorisation.
• Willingness to undergo a background check (VOG).

The following are a plus

• Building data products on SAP and SuccessFactors data.
• Hands-on experience of a Synapse-to-Fabric migration.
• Experience coaching or leading data engineers on a new platform.

Why this role

You take a live, well-architected lakehouse onto Microsoft Fabric. That migration is one of the most in-demand skill sets in the Dutch data market. Your work directly supports the operational efficiency of a city's public transport network. With up to 2 years of runway and a team ready to learn, you shape both the platform and the people who run it.

We are an Equal Opportunity Employer and take pride in a diverse environment. We do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, sexual orientation, national origin, age, marital status, medical condition, or disability. Even if you believe you do not tick all the aforementioned requirements for the role, we still encourage you to take the time to apply.